May 22, 2018 · ABSTRACT. While traditional RDBMSes offer a lot of advantages, they require significant effort to setup and to use.
May 22, 2018 · MonetDBLite is designed to be both highly efficient and easy to use in conjunction with standard analytical tools.
MonetDB: Two decades of research in column-oriented database architectures. IEEE Data Eng. Bull ({n. d.}), 2012. ... Sean Kandel, Andreas Paepcke, Joseph M.
There is a disconnect between data-intensive analytical tools and traditional database management systems. Data scien- tists using these tools often prefer ...
There is a disconnect between data-intensive analytical tools and traditional database management systems. Data scientists using.
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This paper introduces the embedded analytical database MonetDBLite, designed for OLAP scenarios, and offers near-instantaneous data transfer between the ...
In this paper, we introduce the embedded analytical database MonetDBLite. MonetDBLite is designed to be both highly efficient and easy to use in conjunction ...
In a conceptual view, we plan to extend Grizzly with an embedded query engine, e.g. DuckDB [RM19] or MonetDBLite [RM18] , and a query optimizer and compare ...
Benchmarks for the paper MonetDBLite: An Embedded Analytical Database. 4 stars 0 forks Branches Tags Activity.
Mark Raasveldt: MonetDBLite: An Embedded Analytical Database. SIGMOD Conference 2018: 1837-1838. a service of Schloss Dagstuhl - Leibniz Center for ...